Domo Case Studies Do the Jerseys Matter? | How the NBA is Using Domo to Estimate Viewership

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	Do the Jerseys Matter? \| How the NBA is Using Domo to Estimate Viewership Domo

Do the Jerseys Matter? | How the NBA is Using Domo to Estimate Viewership

Domo

Technology Category	Analytics & Modeling - Predictive Analytics Analytics & Modeling - Real Time Analytics
Applicable Industries	Professional Service
Applicable Functions	Business Operation Sales & Marketing
Use Cases	Predictive Quality Analytics Real-Time Location System (RTLS)
Services	Data Science Services
Challenge	The NBA, a global media company, needs to accurately estimate the viewership for every single game to make key decisions, including which games are broadcast on which networks and which games receive advanced promotion. The NBA’s success requires the organization to accurately estimate the viewership for every single game, using that information to make key decisions, including which games are broadcast on which networks and which games receive advanced promotion. The NBA needed more data, and more speed and agility to put it together, so they could gain insights that would help the NBA succeed in an increasingly competitive media landscape. Read More
About Customer	The National Basketball Association (NBA) is a professional sports league in North America composed of 30 teams. It is one of the major professional sports leagues in the United States and Canada and is recognized by the International Basketball Federation (FIBA) as the governing body for professional basketball worldwide. The NBA is an active participant in the sports broadcasting market, with games and related content broadcasted in over 200 countries in more than 40 languages. The organization generates over $2 billion annually from television revenues alone. Each team in the NBA, valued at over $1 billion, plays 82 games in a regular season. Read More
Solution	The NBA partnered with Domo to turn their estimated viewership processes from a manual computation to an automated pipeline that can produce instantaneous assessments of estimated viewers with a much wider set of variables. With Domo, Jonathan’s team dove into a huge variety of datasets. They found that the network an NBA game is shown on is an essential variable for estimating viewership. Additionally, which players are on the court is a key predictor. The model can evaluate teams that are on a winning streak along with matchups that are important for the playoffs. After building the model, Jonathan can watch as it automatically updates with every player, team, and network performance night in and night out. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Analytics & Modeling - Real Time Analytics

Applicable Industries

Professional Service

Applicable Functions

Business Operation

Sales & Marketing

Use Cases

Predictive Quality Analytics

Real-Time Location System (RTLS)

Services

Data Science Services

Challenge

The NBA, a global media company, needs to accurately estimate the viewership for every single game to make key decisions, including which games are broadcast on which networks and which games receive advanced promotion. The NBA’s success requires the organization to accurately estimate the viewership for every single game, using that information to make key decisions, including which games are broadcast on which networks and which games receive advanced promotion. The NBA needed more data, and more speed and agility to put it together, so they could gain insights that would help the NBA succeed in an increasingly competitive media landscape.

About Customer

The National Basketball Association (NBA) is a professional sports league in North America composed of 30 teams. It is one of the major professional sports leagues in the United States and Canada and is recognized by the International Basketball Federation (FIBA) as the governing body for professional basketball worldwide. The NBA is an active participant in the sports broadcasting market, with games and related content broadcasted in over 200 countries in more than 40 languages. The organization generates over $2 billion annually from television revenues alone. Each team in the NBA, valued at over $1 billion, plays 82 games in a regular season.

Solution

The NBA partnered with Domo to turn their estimated viewership processes from a manual computation to an automated pipeline that can produce instantaneous assessments of estimated viewers with a much wider set of variables. With Domo, Jonathan’s team dove into a huge variety of datasets. They found that the network an NBA game is shown on is an essential variable for estimating viewership. Additionally, which players are on the court is a key predictor. The model can evaluate teams that are on a winning streak along with matchups that are important for the playoffs. After building the model, Jonathan can watch as it automatically updates with every player, team, and network performance night in and night out.

Impact #1	The partnership with Domo has helped the NBA make better predictions about viewership for any given game, which improves the experiences of fans across the globe.
Impact #2	The process of automation has allowed Jonathan’s team to focus on new ways to improve the overall product for the global community of fans.
Impact #3	The NBA has developed a reputation as the people to go to when someone needs data because they are able to be that single source of truth, while being flexible enough to provide the data however people need it.

Impact #1

The partnership with Domo has helped the NBA make better predictions about viewership for any given game, which improves the experiences of fans across the globe.

Impact #2

The process of automation has allowed Jonathan’s team to focus on new ways to improve the overall product for the global community of fans.

Impact #3

The NBA has developed a reputation as the people to go to when someone needs data because they are able to be that single source of truth, while being flexible enough to provide the data however people need it.

Benefit #1	The NBA can upload an entire schedule of regular season NBA games, and be able to automatically estimate the viewership for each one on a given day at a given start time.

Benefit #1

The NBA can upload an entire schedule of regular season NBA games, and be able to automatically estimate the viewership for each one on a given day at a given start time.

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Overview

Do the Jerseys Matter? | How the NBA is Using Domo to Estimate Viewership

Operational Impact

Quantitative Benefit